Are GANs Created Equal? A Large-Scale Study

28 November 2017

Papers citing "Are GANs Created Equal? A Large-Scale Study"

50 / 199 papers shown

Title
On the Effectiveness of Image Rotation for Open Set Domain Adaptation S. Bucci Mohammad Reza Loghmani Tatiana Tommasi 63 142 0 24 Jul 2020
Conditional GAN for timeseries generation Kaleb E. Smith Anthony O. Smith AI4TS 16 77 0 30 Jun 2020
High-Fidelity Generative Image Compression Fabian Mentzer G. Toderici Michael Tschannen E. Agustsson 57 463 0 17 Jun 2020
GAN Memory with No Forgetting Yulai Cong Miaoyun Zhao Jianqiao Li Sijia Wang Lawrence Carin CLL 13 116 0 13 Jun 2020
Let's Face It: Probabilistic Multi-modal Interlocutor-aware Generation of Facial Gestures in Dyadic Settings Patrik Jonell Taras Kucherenko G. Henter Jonas Beskow CVBM 17 61 0 11 Jun 2020
What Matters In On-Policy Reinforcement Learning? A Large-Scale Empirical Study Marcin Andrychowicz Anton Raichuk Piotr Stańczyk Manu Orsini Sertan Girgin ... M. Geist Olivier Pietquin Marcin Michalski Sylvain Gelly Olivier Bachem OffRL 31 214 0 10 Jun 2020
IMUTube: Automatic Extraction of Virtual on-body Accelerometry from Video for Human Activity Recognition Hyeokhyen Kwon C. Tong H. Haresamudram Yan Gao G. Abowd Nicholas D. Lane Thomas Ploetz 13 83 0 29 May 2020
Host-Pathongen Co-evolution Inspired Algorithm Enables Robust GAN Training Andrei Kucharavy El-Mahdi El-Mhamdi R. Guerraoui GAN 24 1 0 22 May 2020
Regularization Methods for Generative Adversarial Networks: An Overview of Recent Studies Minhyeok Lee Junhee Seok GAN 27 25 0 19 May 2020
Deep Learning and Knowledge-Based Methods for Computer Aided Molecular Design -- Toward a Unified Approach: State-of-the-Art and Future Directions Abdulelah S. Alshehri R. Gani Fengqi You AI4CE 32 83 0 18 May 2020
Generative Adversarial Networks (GANs Survey): Challenges, Solutions, and Future Directions Divya Saxena Jiannong Cao AAML AI4CE 26 286 0 30 Apr 2020
Showing Your Work Doesn't Always Work Raphael Tang Jaejun Lee Ji Xin Xinyu Liu Yaoliang Yu Jimmy J. Lin 19 5 0 28 Apr 2020
A recurrent cycle consistency loss for progressive face-to-face synthesis Enrique Sanchez M. Valstar GAN CVBM 22 12 0 14 Apr 2020
Adversarial Latent Autoencoders Stanislav Pidhorskyi Donald Adjeroh Gianfranco Doretto GAN DRL 51 259 0 09 Apr 2020
Improving Reproducibility in Machine Learning Research (A Report from the NeurIPS 2019 Reproducibility Program) Joelle Pineau Philippe Vincent-Lamarre Koustuv Sinha V. Larivière A. Beygelzimer Florence dÁlché-Buc E. Fox Hugo Larochelle 19 358 0 27 Mar 2020
A Metric Learning Reality Check Kevin Musgrave Serge J. Belongie Ser-Nam Lim 59 475 0 18 Mar 2020
A U-Net Based Discriminator for Generative Adversarial Networks Edgar Schönfeld Bernt Schiele Anna Khoreva GAN 30 292 0 28 Feb 2020
On Leveraging Pretrained GANs for Generation with Limited Data Miaoyun Zhao Yulai Cong Lawrence Carin 34 21 0 26 Feb 2020
Unsupervised Discovery, Control, and Disentanglement of Semantic Attributes with Applications to Anomaly Detection William Paul I-J. Wang F. Alajaji Philippe Burlina DiffM DRL 21 6 0 25 Feb 2020
Freeze the Discriminator: a Simple Baseline for Fine-Tuning GANs Sangwoo Mo Minsu Cho Jinwoo Shin 30 212 0 25 Feb 2020
xAI-GAN: Enhancing Generative Adversarial Networks via Explainable AI Systems Vineel Nagisetty Laura Graves Joseph Scott Vijay Ganesh GAN DRL 24 27 0 24 Feb 2020
Robust Reinforcement Learning via Adversarial training with Langevin Dynamics Parameswaran Kamalaruban Yu-ting Huang Ya-Ping Hsieh Paul Rolland C. Shi V. Cevher 31 60 0 14 Feb 2020
Improved Consistency Regularization for GANs Zhengli Zhao Sameer Singh Honglak Lee Zizhao Zhang Augustus Odena Han Zhang 32 153 0 11 Feb 2020
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications Jie Gui Zhenan Sun Yonggang Wen Dacheng Tao Jieping Ye EGVM 33 821 0 20 Jan 2020
Towards Better Understanding of Adaptive Gradient Algorithms in Generative Adversarial Nets Mingrui Liu Youssef Mroueh Jerret Ross Wei Zhang Xiaodong Cui Payel Das Tianbao Yang ODL 46 63 0 26 Dec 2019
Getting Topology and Point Cloud Generation to Mesh Austin Dill Chun-Liang Li Songwei Ge Eunsu Kang 3DPC 25 3 0 08 Dec 2019
Orthogonal Wasserstein GANs J. Müller Reinhard Klein Michael Weinmann 48 9 0 29 Nov 2019
Semantic Bottleneck Scene Generation S. Azadi Michael Tschannen Eric Tzeng Sylvain Gelly Trevor Darrell Mario Lucic 21 29 0 26 Nov 2019
Effectively Unbiased FID and Inception Score and where to find them Min Jin Chong David A. Forsyth EGVM 13 199 0 16 Nov 2019
Investigating Under and Overfitting in Wasserstein Generative Adversarial Networks Ben Adlam Charles Weill Amol Kapoor 19 17 0 30 Oct 2019
On the Benefit of Adversarial Training for Monocular Depth Estimation R. Groenendijk Sezer Karaoglu Theo Gevers Thomas Mensink GAN MDE 12 29 0 29 Oct 2019
Wavelets to the Rescue: Improving Sample Quality of Latent Variable Deep Generative Models P. Gyawali Rudra Saha Linwei Wang V. Veeravasarapu M. Singh DiffM DRL 33 0 0 26 Oct 2019
Consistency Regularization for Generative Adversarial Networks Han Zhang Zizhao Zhang Augustus Odena Honglak Lee GAN 36 284 0 26 Oct 2019
LinesToFacePhoto: Face Photo Generation from Lines with Conditional Self-Attention Generative Adversarial Network Yuhang Li Xiao Chen Feng Wu Zhengjun Zha CVBM GAN 27 65 0 20 Oct 2019
On the estimation of the Wasserstein distance in generative models Thomas Pinetz Daniel Soukup Thomas Pock GAN 19 9 0 02 Oct 2019
Stabilizing Generative Adversarial Networks: A Survey Maciej Wiatrak Stefano V. Albrecht A. Nystrom GAN 29 84 0 30 Sep 2019
Deep Video Deblurring: The Devil is in the Details Jochen Gast Stefan Roth 29 24 0 26 Sep 2019
AutoGAN: Neural Architecture Search for Generative Adversarial Networks Xinyu Gong Shiyu Chang Yi Ding Zhangyang Wang GAN 35 263 0 11 Aug 2019
Visualizing the PHATE of Neural Networks Scott A. Gigante Adam S. Charles Smita Krishnaswamy Gal Mishne 36 37 0 07 Aug 2019
Warp and Learn: Novel Views Generation for Vehicles and Other Objects Andrea Palazzi Luca Bergamini Simone Calderara Rita Cucchiara 26 0 0 24 Jul 2019
Fast and Provable ADMM for Learning with Generative Priors Fabian Latorre Gómez Armin Eftekhari V. Cevher GAN 30 43 0 07 Jul 2019
Evaluating the distribution learning capabilities of GANs Amit Rege C. Monteleoni EGVM 30 0 0 05 Jul 2019
GANPOP: Generative Adversarial Network Prediction of Optical Properties from Single Snapshot Wide-field Images Mason T. Chen Faisal Mahmood Jordan A. Sweer Nicholas J. Durr 26 32 0 12 Jun 2019
Continual Learning of New Sound Classes using Generative Replay Zhepei Wang Y. C. Sübakan Efthymios Tzinis Paris Smaragdis Laurent Charlin VLM 27 23 0 03 Jun 2019
On Network Design Spaces for Visual Recognition Ilija Radosavovic Justin Johnson Saining Xie Wan-Yen Lo Piotr Dollár 27 134 0 30 May 2019
JGAN: A Joint Formulation of GAN for Synthesizing Images and Labels Minje Park VLM GAN 32 3 0 28 May 2019
ET-GAN: Cross-Language Emotion Transfer Based on Cycle-Consistent Generative Adversarial Networks Xiaoqi Jia Jianwei Tai Hang Zhou Yakai Li Weijuan Zhang Haichao Du Qingjia Huang GAN 22 6 0 27 May 2019
ODE Analysis of Stochastic Gradient Methods with Optimism and Anchoring for Minimax Problems Ernest K. Ryu Kun Yuan W. Yin 20 36 0 26 May 2019
Decentralized Learning of Generative Adversarial Networks from Non-iid Data Ryo Yonetani Tomohiro Takahashi Atsushi Hashimoto Yoshitaka Ushiku 45 24 0 23 May 2019
ReshapeGAN: Object Reshaping by Providing A Single Reference Image Ziqiang Zheng Yang Wu Zhibin Yu Yang Yang Haiyong Zheng T. Kanade GAN 21 0 0 16 May 2019